AI Image Enhancer to Generate & Upscale
AI Image Enhancer to Generate & Upscale On Nagent, DeepImage is exposed as a fully-configurable artificial intelligence integration that any agent can call — 5 actions, and API key authentication. No code is required to wire DeepImage into your workflow — connect it once via the External Integrations panel and reuse it across every agent you build.
Agent builders use DeepImage to automate the kinds of tasks artificial intelligence teams previously handled manually. Concrete examples — each one is a single agent step in Nagent — include:
Every action and trigger is paired with a structured input/output schema (visible in the sections below), so when you wire DeepImage into Helix — our agentic agent builder — the editor knows exactly what each step expects and produces. Configure once, deploy anywhere across your Nagent agents.
Every operation an agent can call against DeepImage, with input parameters and output schema. Drop these into any step of an agent built in Helix.
DEEPIMAGE_DELETE_JOBTool to delete completed job result and remove images from the server. Use when cleaning up processed jobs that are no longer needed.
Input parameters
Unique identifier for the processing job whose results should be removed
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
DEEPIMAGE_GET_ACCOUNT_INFOTool to retrieve authenticated user's profile information including credits, username, email, API key, language preference, webhook settings, and billing address. Use when you need to check account details or credit balance.
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
DEEPIMAGE_GET_JOB_RESULTTool to retrieve processing job result by hash. Use to check job status and get result URL when processing is complete.
Input parameters
The unique job identifier returned from a processing request
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
DEEPIMAGE_PROCESS_IMAGE_ASYNCTool to schedule an image enhancement job and wait for the result. Performs selected enhancement options on an image and returns the result URL if processing completes within 25 seconds; otherwise returns a job hash for later retrieval. Use when you need to enhance images with options like denoising, deblurring, lighting improvements, or background removal.
Input parameters
DPI setting for the output image (default: 300)
Fitting method - can be a string ('canvas', 'crop', 'bounds', 'cover') or a FitOptions object
Image URL, Base64-encoded image, or storage URL format to process
Pixel width or percentage (e.g., 1000 or '200%')
Pixel height or percentage (e.g., 800 or '150%')
Preset configurations like 'real_estate', 'ecommerce', etc.
Target storage location for the output image
Margin in pixels or percentages
Compression quality level from 0 to 100 (default: 85)
Background removal or replacement options.
Minimum width or height in pixels
Paper size specification like 'A4', 'letter', etc.
List of enhancement types to apply to the image
Output image format
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
DEEPIMAGE_PROCESS_IMAGE_SYNCTool to process an image synchronously with Deep Image AI. Returns result URL immediately if processing completes in less than 25 seconds, otherwise returns job hash for async polling. Use for image enhancement, resizing, background removal, and other image processing tasks.
Input parameters
Print-specific DPI parameter.
Image URL, Base64 encoded image, or storage URL.
Target width in pixels or percentage (e.g., "200%" or 800).
Target height in pixels or percentage (e.g., "200%" or 600).
Predefined processing templates (e.g., 'real_estate', 'ecommerce').
Storage destination URL.
Compression level 0-100, default: 85.
Configuration for background removal.
Print-specific size parameter.
Enhancement types: denoise, deblur, clean, face_enhance, light, color, white_balance, exposure_correction.
Size constraints with units (kb, mb, gb).
Output format: jpeg, jpg, png, webp.
Enhancement-specific configuration for color.
Enhancement-specific configuration for lighting.
Enhancement-specific configuration for deblurring.
Enhancement-specific configuration for denoising.
Enhancement-specific configuration for white balance.
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
No publicly available marketplace agent is found using this tool yet. There are 63 agents privately built on Nagent that already use DeepImage.
Build on Nagent
Connect DeepImage to any Nagent agent in minutes — no API key management, no boilerplate. Just configure and deploy.
The five questions agent builders ask before adopting a new integration.
Open the External Integrations panel inside Nagent (app.nagent.ai/externalIntegration), find DeepImage, and click "Connect Now." You'll authenticate with an API key — Nagent handles credential storage and refresh automatically. Once connected, DeepImage is available to any agent in your workspace.
No. Nagent provides no-code integration for every tool. Once DeepImage is connected, you configure its 5 actions directly in the agent builder UI — no API calls, no boilerplate, no schema management.
Helix — Nagent's agentic agent builder — lets you drop DeepImage steps into any workflow visually. Pick an action (e.g., one of those listed above), fill in the inputs (Helix knows the required vs. optional schema for each parameter), and connect it to upstream/downstream steps. Triggers run as the entry point of an agent, so when a DeepImage event fires, the agent kicks off automatically.
Every DeepImage action and trigger ships with a fully-typed schema — input parameters with name, type, required flag, and description, plus the output payload shape. The schemas are documented in the sections above. Helix uses these schemas to validate your configuration at build time and to type-check the data flowing between steps.
Yes. While DeepImage ships with 5 pre-built artificial intelligence actions, you can layer custom logic around them inside Helix — pre/post-processing steps, conditional branches, retries, or stitching DeepImage together with other connected tools. For deeper customization, talk to our team about Nagent's Agentic AI Lab — forward-deployed engineers who build DeepImage-based workflows tailored to your business.